DankGPT – Chat with Your Documents
Uses hybrid semantic search (combination of dense embeddings and sparse vectors) to retrieve high quality answers across your documents. Features - Significantly faster than competition (Process a 200 page PDF in <5s) - Much better answer quality - Fast summarization tool - Beta API for end to end extractive document QA ([email protected]) Try it out (no login) - Llama 2 paper https://www.dankgpt.com/chat/346f444d-e286-4671-b157-540f4cb... - Scott Aaronson Quantum Information Science lectures…
In plain words
DankGPT lets users ask questions and get answers from their uploaded documents using hybrid semantic search combining dense embeddings and sparse vectors. It processes 200-page PDFs in under 5 seconds and offers summarization tools. The platform requires no login to try and includes a beta API for extractive document question-answering. It's designed for researchers, students, and anyone needing to quickly extract information from papers, lectures, or reports.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Uses hybrid semantic search (combination of dense embeddings and sparse vectors) to retrieve high quality answers across your documents. Features - Significantly faster than competition (Process a 200 page PDF in <5s) - Much better answer quality - Fast summarization tool - Beta API for end to end extractive document QA ([email protected]) Try it out (no login) - Llama 2 paper https://www.dankgpt.com/chat/346f444d-e286-4671-b157-540f4cb... - Scott Aaronson Quantum Information Science lectures https://www.dankgpt.com/chat/cc491d72-dc7b-4ace-8e26-60026ae... - Berkshire 2022 Annual Report https://www.dankgpt.com/chat/068bf85f-b372-46a4-a164-6096f8c... Why not host it yourself? - You definitely can! DankGPT is intended as a quick way to ask questions about a research paper, or help students with answering questions from their lecture slides, with an easy way to share your chatbot.
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